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Which governance mechanism influences the relationship between motivation and performance? An investigation on university and industry collaboration in Malaysia
Journal of Applied Research in Higher Education ( IF 1.9 ) Pub Date : 2021-07-06 , DOI: 10.1108/jarhe-02-2021-0060
Md Daud Ismail 1 , Imran Ho Abdullah 2 , Mohamat Sabri Hassan 1
Affiliation  

Purpose

This study examined academic motives to enter university-industry collaboration (UIC) and how they affect collaboration performance. Given that UIC performance is context-dependent, we also explored the moderating role of relationship governance.

Design/methodology/approach

The study population was academics working at a public research university while collaborating with industry. Data were collected through a cross-sectional survey. The measurement items were adapted from previous studies. Exploratory factor analysis and confirmatory factor analysis were conducted using IBM SPSS statistics 26 (SPSS 26). This study utilized a hierarchical moderated regression analysis to examine the research model.

Findings

The results indicated that government and institutional policies and knowledge generation and dissemination are critical indicators of necessity that motivate academics to enter UIC and positively influence performance outcomes. Different governance mechanisms also play varying roles in the relationship between motivation and UIC performance.

Practical implications

Institutional programs designed to encourage academics to collaborate with industry should consider the types of academic motivation and carefully manage collaboration efficiency using various kinds of relationship governance.

Originality/value

This study contributes to existing knowledge by determining how different relationship governance mechanisms moderate the relationship between academic motivation and collaboration performance.



中文翻译:

哪种治理机制影响动机和绩效之间的关系?马来西亚大学与产业合作调查

目的

本研究考察了进入大学与产业合作 (UIC) 的学术动机以及它们如何影响合作绩效。鉴于 UIC 绩效与上下文相关,我们还探讨了关系治理的调节作用。

设计/方法/方法

研究人群是在一所公立研究型大学工作的学者,同时与工业界合作。通过横断面调查收集数据。测量项目改编自先前的研究。使用 IBM SPSS Statistics 26 (SPSS 26) 进行探索性因素分析和验证性因素分析。本研究利用分层调节回归分析来检验研究模型。

发现

结果表明,政府和机构政策以及知识的产生和传播是激励学者进入 UIC 并对绩效产生积极影响的关键指标。不同的治理机制在动机和 UIC 绩效之间的关系中也发挥着不同的作用。

实际影响

旨在鼓励学者与行业合作的机构计划应考虑学术动机的类型,并使用各种关系治理仔细管理合作效率。

原创性/价值

本研究通过确定不同的关系治理机制如何调节学术动机和合作绩效之间的关系,为现有知识做出了贡献。

更新日期:2021-07-06
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